Sensitivity analysis of similarity metrices for image matching

Author

Malla, Raja ; Devarajan, Venkat

Author_Institution

Dept. of Electr. Eng., Texas Univ., Arlington, TX, USA

fYear

1994

fDate

21-24 Apr 1994

Firstpage

76

Lastpage

81

Abstract

This paper presents simulation results on the performance of similarity metrices for image matching. Specifically, matching and determining the transformation between slightly rotated images are addressed. The use of a correlation function and an error function as similarity metrices is reexamined when there is a coupling between translation and rotation. Sensitivity of these two metrices in the above context is compared. A hybrid iterative strategy is proposed based on the sensitivity analysis to enhance the matching accuracy

Keywords

correlation methods; image sequences; iterative methods; correlation function; error function; hybrid iterative method; image matching; matching accuracy; rotated images; sensitivity analysis; similarity metrices; simulation results; translation; Area measurement; Image matching; Image recognition; Iterative algorithms; Layout; Navigation; Performance analysis; Remote sensing; Rotation measurement; Sensitivity analysis;

fLanguage

English

Publisher

ieee

Conference_Titel

Image Analysis and Interpretation, 1994., Proceedings of the IEEE Southwest Symposium on

Conference_Location

Dallas, TX

Print_ISBN

0-8186-6250-6

Type

conf

DOI

10.1109/IAI.1994.336681

Filename

336681